app.py

import os
import subprocess
import tempfile
import shutil
from zipfile import ZipFile
import logging
import json
import psutil
from flask import Flask, request, jsonify, render_template, send_file
import threading

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Initialize Flask app
app = Flask(__name__)

connected_cpus = {}

# Endpoint to donate CPU resources
@app.route('/donate_cpu', methods=['POST'])
def donate_cpu_handler():
    data = request.get_json()
    host = data['host']
    cpu_count = data['cpu_count']
    connected_cpus[host] = {"cpu_count": cpu_count, "usage": 0.0}
    logger.info(f"CPU donated by {host} with {cpu_count} CPUs.")
    return jsonify({"status": "success", "message": f"CPU donated by {host}"})

# Endpoint to update CPU usage
@app.route('/update_cpu_usage', methods=['POST'])
def update_cpu_usage_handler():
    data = request.get_json()
    host = data['host']
    usage = data['usage']
    if host in connected_cpus:
        connected_cpus[host]['usage'] = usage
        logger.info(f"Updated CPU usage for {host}: {usage}%")
    return jsonify({"status": "success"})

# Function to run the provided Python script using MPI
def run_script(script_name, folder_path):
    output_log = tempfile.TemporaryFile(mode='w+t')
    try:
        # Collect all available CPUs
        total_cpus = sum(cpu['cpu_count'] for cpu in connected_cpus.values())
        
        # Run the script using MPI
        result = subprocess.run(['mpiexec', '-n', str(total_cpus), 'python', script_name], cwd=folder_path, stdout=output_log, stderr=subprocess.STDOUT)
        output_log.seek(0)
        log_output = output_log.read()
    except Exception as e:
        log_output = str(e)
    finally:
        output_log.close()
    
    return log_output

# Function to handle file uploads and script execution
@app.route('/upload', methods=['POST'])
def handle_upload():
    if 'file' not in request.files or 'script_name' not in request.form:
        return jsonify({"status": "error", "message": "File or script name not provided"}), 400
    
    files = request.files.getlist('file')
    script_name = request.form['script_name']
    
    # Create a temporary directory to store uploaded files
    temp_dir = tempfile.mkdtemp()
    
    # Save the uploaded folder contents to the temporary directory
    folder_path = os.path.join(temp_dir, 'uploaded_folder')
    os.makedirs(folder_path, exist_ok=True)
    for file_obj in files:
        file_path = os.path.join(folder_path, file_obj.filename)
        file_obj.save(file_path)

    # Run the script
    log_output = run_script(script_name, folder_path)
    
    # Create a zip file of the entire folder (including any new files created by the script)
    zip_path = os.path.join(temp_dir, 'output_folder.zip')
    with ZipFile(zip_path, 'w') as zipf:
        for root, _, files in os.walk(folder_path):
            for file in files:
                zipf.write(os.path.join(root, file), os.path.relpath(os.path.join(root, file), folder_path))
    
    return jsonify({"status": "success", "log_output": log_output, "download_url": f"/download/{os.path.basename(zip_path)}"})

@app.route('/download/<filename>')
def download_file(filename):
    return send_file(os.path.join(tempfile.gettempdir(), filename), as_attachment=True)

# Endpoint to get connected CPUs information
@app.route('/cpu_info', methods=['GET'])
def get_cpu_info():
    info = []
    for host, data in connected_cpus.items():
        info.append(f"{host}: {data['cpu_count']} CPUs, {data['usage']}% usage")
    return jsonify({"status": "success", "cpu_info": "\n".join(info)})

# Main interface
@app.route('/')
def index():
    return render_template('index.html')

if __name__ == "__main__":
    app.run(host='0.0.0.0', port=7860, threaded=True)